----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  D:\Vicard\VV\re\inprogress\BRV\results\results_active_learning.log
  log type:  text
 opened on:  29 Sep 2017, 21:39:23

. 
. * balanced dataset : eight years *
. 
. foreach age in  "age_ele1"{
  2.         
.         use $Output\dataset_brv_fe, clear
  3.         
.         g prior = res_fe_qty 
  4.         sort ijk year
  5.         egen id = group(ijk entry_ele1)
  6.         bys id: g prior0=prior[1]
  7.         sort  id year
  8.         tsset id year
  9.         
.         drop age_ele1_max
 10.         bys id: egen age_ele1_max = max(age_ele1)
 11.         keep if age_ele1_max>=8
 12.         
.         global condition     "entry_ele!=1994 & entry_ele!=1995"
 13.         
.         g prior_l1 = l.prior
 14.         keep if prior!=. &  prior_l1!=. & prior0!=.
 15.         
.                 forvalues x=3(1)8{
 16.                 g temp`x' = (age_ele1==`x')
 17.                 bys id: egen mean_temp`x' = mean(temp`x')
 18.                 keep if mean_temp`x' > 0
 19.                 drop temp`x' mean_temp`x'
 20.                 }
 21.                 forvalues x = 3(1)8{
 22.                 eststo: reg prior  prior_l1 prior0   if age_ele1 == `x' & $condition, r cluster(i)
 23.                 }
 24. 
.                 set linesize 250
 25.                 esttab, mtitles drop(_cons) b(%5.3f) se(%5.3f) compress r2 starlevels(c 0.1 b 0.05 a 0.01)  se 
 26.                 esttab, mtitles drop(_cons) b(%5.3f) se(%5.3f) r2  starlevels({$^c$} 0.1 {$^b$} 0.05 {$^a$} 0.01) se tex label  title() 
 27.                 eststo clear
 28. }
       panel variable:  id (unbalanced)
        time variable:  year, 1996 to 2005, but with gaps
                delta:  1 unit
(5,278,837 observations deleted)
(240,143 missing values generated)
(240,143 observations deleted)
(981,623 observations deleted)
(4,719 observations deleted)
(4,129 observations deleted)
(3,542 observations deleted)
(3,794 observations deleted)
(2,432 observations deleted)

Linear regression                               Number of obs     =     41,034
                                                F(2, 8929)        =    7116.37
                                                Prob > F          =     0.0000
                                                R-squared         =     0.4133
                                                Root MSE          =     .96984

                                  (Std. Err. adjusted for 8,930 clusters in i)
------------------------------------------------------------------------------
             |               Robust
       prior |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    prior_l1 |   .5408997   .0077288    69.99   0.000     .5257495    .5560499
      prior0 |   .1439286   .0064422    22.34   0.000     .1313004    .1565567
       _cons |   .2095056     .00643    32.58   0.000     .1969014    .2221098
------------------------------------------------------------------------------
(est1 stored)

Linear regression                               Number of obs     =     41,034
                                                F(2, 8929)        =    6656.87
                                                Prob > F          =     0.0000
                                                R-squared         =     0.4384
                                                Root MSE          =     .95065

                                  (Std. Err. adjusted for 8,930 clusters in i)
------------------------------------------------------------------------------
             |               Robust
       prior |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    prior_l1 |   .5867797   .0070818    82.86   0.000     .5728979    .6006616
      prior0 |   .1349237   .0055939    24.12   0.000     .1239585     .145889
       _cons |   .1894678   .0058283    32.51   0.000     .1780429    .2008926
------------------------------------------------------------------------------
(est2 stored)

Linear regression                               Number of obs     =     41,034
                                                F(2, 8929)        =    6301.30
                                                Prob > F          =     0.0000
                                                R-squared         =     0.4546
                                                Root MSE          =     .94385

                                  (Std. Err. adjusted for 8,930 clusters in i)
------------------------------------------------------------------------------
             |               Robust
       prior |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    prior_l1 |   .6320445   .0066091    95.63   0.000      .619089    .6449999
      prior0 |   .0968416   .0049101    19.72   0.000     .0872167    .1064664
       _cons |   .1637675   .0068718    23.83   0.000     .1502973    .1772378
------------------------------------------------------------------------------
(est3 stored)

Linear regression                               Number of obs     =     41,034
                                                F(2, 8929)        =    7910.80
                                                Prob > F          =     0.0000
                                                R-squared         =     0.4638
                                                Root MSE          =     .93983

                                  (Std. Err. adjusted for 8,930 clusters in i)
------------------------------------------------------------------------------
             |               Robust
       prior |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    prior_l1 |   .6452501   .0061326   105.22   0.000     .6332288    .6572713
      prior0 |   .0908579   .0049377    18.40   0.000     .0811788     .100537
       _cons |   .1476311   .0065082    22.68   0.000     .1348736    .1603886
------------------------------------------------------------------------------
(est4 stored)

Linear regression                               Number of obs     =     41,034
                                                F(2, 8929)        =    6856.98
                                                Prob > F          =     0.0000
                                                R-squared         =     0.4651
                                                Root MSE          =     .94865

                                  (Std. Err. adjusted for 8,930 clusters in i)
------------------------------------------------------------------------------
             |               Robust
       prior |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    prior_l1 |   .6589475   .0065277   100.95   0.000     .6461517    .6717433
      prior0 |   .0791897   .0049208    16.09   0.000     .0695438    .0888356
       _cons |   .1316675   .0063794    20.64   0.000     .1191624    .1441726
------------------------------------------------------------------------------
(est5 stored)

Linear regression                               Number of obs     =     41,034
                                                F(2, 8929)        =    6038.14
                                                Prob > F          =     0.0000
                                                R-squared         =     0.4654
                                                Root MSE          =     .96512

                                  (Std. Err. adjusted for 8,930 clusters in i)
------------------------------------------------------------------------------
             |               Robust
       prior |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    prior_l1 |   .6684122   .0067607    98.87   0.000     .6551598    .6816647
      prior0 |   .0754629   .0045879    16.45   0.000     .0664695    .0844563
       _cons |    .074785     .00641    11.67   0.000     .0622199    .0873501
------------------------------------------------------------------------------
(est6 stored)

----------------------------------------------------------------------------
                 (1)        (2)        (3)        (4)        (5)        (6) 
                est1       est2       est3       est4       est5       est6 
----------------------------------------------------------------------------
prior_l1       0.541a     0.587a     0.632a     0.645a     0.659a     0.668a
             (0.008)    (0.007)    (0.007)    (0.006)    (0.007)    (0.007) 

prior0         0.144a     0.135a     0.097a     0.091a     0.079a     0.075a
             (0.006)    (0.006)    (0.005)    (0.005)    (0.005)    (0.005) 
----------------------------------------------------------------------------
N              41034      41034      41034      41034      41034      41034 
R-sq           0.413      0.438      0.455      0.464      0.465      0.465 
----------------------------------------------------------------------------
Standard errors in parentheses
c p<0.1, b p<0.05, a p<0.01

{
\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi}
\begin{tabular}{l*{6}{c}}
\hline\hline
                    &\multicolumn{1}{c}{(1)}&\multicolumn{1}{c}{(2)}&\multicolumn{1}{c}{(3)}&\multicolumn{1}{c}{(4)}&\multicolumn{1}{c}{(5)}&\multicolumn{1}{c}{(6)}\\
                    &\multicolumn{1}{c}{est1}&\multicolumn{1}{c}{est2}&\multicolumn{1}{c}{est3}&\multicolumn{1}{c}{est4}&\multicolumn{1}{c}{est5}&\multicolumn{1}{c}{est6}\\
\hline
prior\_l1            &       0.541{$^a$}&       0.587{$^a$}&       0.632{$^a$}&       0.645{$^a$}&       0.659{$^a$}&       0.668{$^a$}\\
                    &     (0.008)      &     (0.007)      &     (0.007)      &     (0.006)      &     (0.007)      &     (0.007)      \\
[1em]
prior0              &       0.144{$^a$}&       0.135{$^a$}&       0.097{$^a$}&       0.091{$^a$}&       0.079{$^a$}&       0.075{$^a$}\\
                    &     (0.006)      &     (0.006)      &     (0.005)      &     (0.005)      &     (0.005)      &     (0.005)      \\
\hline
Observations        &       41034      &       41034      &       41034      &       41034      &       41034      &       41034      \\
\(R^{2}\)           &       0.413      &       0.438      &       0.455      &       0.464      &       0.465      &       0.465      \\
\hline\hline
\multicolumn{7}{l}{\footnotesize Standard errors in parentheses}\\
\multicolumn{7}{l}{\footnotesize {$^c$} p<0.1, {$^b$} p<0.05, {$^a$} p<0.01}\\
\end{tabular}
}

. 
. * sensitivity to nbr of lags *
. 
. g prior_l2 = l2.prior
(141,039 missing values generated)

. g prior_l3 = l3.prior
(211,464 missing values generated)

. g prior_l4 = l4.prior
(281,952 missing values generated)

. 
. forvalues x = 6(1)8{
  2. eststo: reg prior  prior_l1 prior0                                                      if age_ele1 == `x' & $condition, r cluster(i)
  3. eststo: reg prior  prior_l1 prior0 prior_l2                                     if age_ele1 == `x' & $condition, r cluster(i)
  4. eststo: reg prior  prior_l1 prior0 prior_l2 prior_l3                    if age_ele1 == `x' & $condition, r cluster(i)
  5. eststo: reg prior  prior_l1 prior0 prior_l2 prior_l3 prior_l4   if age_ele1 == `x' & $condition, r cluster(i)
  6. }

Linear regression                               Number of obs     =     41,034
                                                F(2, 8929)        =    7910.80
                                                Prob > F          =     0.0000
                                                R-squared         =     0.4638
                                                Root MSE          =     .93983

                                  (Std. Err. adjusted for 8,930 clusters in i)
------------------------------------------------------------------------------
             |               Robust
       prior |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    prior_l1 |   .6452501   .0061326   105.22   0.000     .6332288    .6572713
      prior0 |   .0908579   .0049377    18.40   0.000     .0811788     .100537
       _cons |   .1476311   .0065082    22.68   0.000     .1348736    .1603886
------------------------------------------------------------------------------
(est1 stored)

Linear regression                               Number of obs     =     41,034
                                                F(3, 8929)        =    6483.40
                                                Prob > F          =     0.0000
                                                R-squared         =     0.4863
                                                Root MSE          =     .91996

                                  (Std. Err. adjusted for 8,930 clusters in i)
------------------------------------------------------------------------------
             |               Robust
       prior |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    prior_l1 |   .5205723   .0074426    69.94   0.000     .5059831    .5351616
      prior0 |   .0502208   .0047598    10.55   0.000     .0408906     .059551
    prior_l2 |    .210394   .0070608    29.80   0.000     .1965531    .2242348
       _cons |   .1161348   .0063257    18.36   0.000     .1037351    .1285346
------------------------------------------------------------------------------
(est2 stored)

Linear regression                               Number of obs     =     41,034
                                                F(4, 8929)        =    5192.80
                                                Prob > F          =     0.0000
                                                R-squared         =     0.4902
                                                Root MSE          =     .91649

                                  (Std. Err. adjusted for 8,930 clusters in i)
------------------------------------------------------------------------------
             |               Robust
       prior |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    prior_l1 |   .5035104   .0077404    65.05   0.000     .4883374    .5186833
      prior0 |   .0313169   .0047679     6.57   0.000     .0219707     .040663
    prior_l2 |   .1723758   .0075879    22.72   0.000     .1575017    .1872499
    prior_l3 |   .0885881   .0063571    13.94   0.000     .0761266    .1010495
       _cons |    .107226   .0062442    17.17   0.000     .0949859    .1194662
------------------------------------------------------------------------------
(est3 stored)

Linear regression                               Number of obs     =     38,743
                                                F(5, 8390)        =    4013.70
                                                Prob > F          =     0.0000
                                                R-squared         =     0.4921
                                                Root MSE          =     .91909

                                  (Std. Err. adjusted for 8,391 clusters in i)
------------------------------------------------------------------------------
             |               Robust
       prior |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    prior_l1 |   .5032825   .0081586    61.69   0.000     .4872897    .5192752
      prior0 |   .0195687   .0052352     3.74   0.000     .0093064    .0298309
    prior_l2 |   .1679613   .0078458    21.41   0.000     .1525816     .183341
    prior_l3 |   .0759469   .0068773    11.04   0.000     .0624657     .089428
    prior_l4 |   .0338126    .006515     5.19   0.000     .0210415    .0465837
       _cons |   .1026952   .0065091    15.78   0.000     .0899357    .1154547
------------------------------------------------------------------------------
(est4 stored)

Linear regression                               Number of obs     =     41,034
                                                F(2, 8929)        =    6856.98
                                                Prob > F          =     0.0000
                                                R-squared         =     0.4651
                                                Root MSE          =     .94865

                                  (Std. Err. adjusted for 8,930 clusters in i)
------------------------------------------------------------------------------
             |               Robust
       prior |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    prior_l1 |   .6589475   .0065277   100.95   0.000     .6461517    .6717433
      prior0 |   .0791897   .0049208    16.09   0.000     .0695438    .0888356
       _cons |   .1316675   .0063794    20.64   0.000     .1191624    .1441726
------------------------------------------------------------------------------
(est5 stored)

Linear regression                               Number of obs     =     41,034
                                                F(3, 8929)        =    6017.63
                                                Prob > F          =     0.0000
                                                R-squared         =     0.4902
                                                Root MSE          =     .92613

                                  (Std. Err. adjusted for 8,930 clusters in i)
------------------------------------------------------------------------------
             |               Robust
       prior |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    prior_l1 |   .5203714   .0074773    69.59   0.000     .5057142    .5350287
      prior0 |   .0451634   .0048579     9.30   0.000     .0356408    .0546859
    prior_l2 |   .2226017    .006935    32.10   0.000     .2090074    .2361959
       _cons |   .0971047   .0060685    16.00   0.000     .0852091    .1090003
------------------------------------------------------------------------------
(est6 stored)

Linear regression                               Number of obs     =     41,034
                                                F(4, 8929)        =    4705.41
                                                Prob > F          =     0.0000
                                                R-squared         =     0.4940
                                                Root MSE          =     .92267

                                  (Std. Err. adjusted for 8,930 clusters in i)
------------------------------------------------------------------------------
             |               Robust
       prior |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    prior_l1 |   .5025551   .0075816    66.29   0.000     .4876933    .5174169
      prior0 |   .0294853   .0048968     6.02   0.000     .0198864    .0390842
    prior_l2 |   .1810296   .0077893    23.24   0.000     .1657609    .1962984
    prior_l3 |   .0895525   .0070654    12.67   0.000     .0757027    .1034022
       _cons |   .0863288   .0061014    14.15   0.000     .0743687    .0982889
------------------------------------------------------------------------------
(est7 stored)

Linear regression                               Number of obs     =     41,034
                                                F(5, 8929)        =    3864.90
                                                Prob > F          =     0.0000
                                                R-squared         =     0.4952
                                                Root MSE          =      .9216

                                  (Std. Err. adjusted for 8,930 clusters in i)
------------------------------------------------------------------------------
             |               Robust
       prior |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    prior_l1 |   .4983191   .0076269    65.34   0.000     .4833686    .5132695
      prior0 |   .0191075   .0050182     3.81   0.000     .0092706    .0289444
    prior_l2 |   .1736762   .0077899    22.29   0.000     .1584062    .1889462
    prior_l3 |   .0691448   .0075993     9.10   0.000     .0542484    .0840413
    prior_l4 |   .0496296   .0064274     7.72   0.000     .0370303    .0622288
       _cons |   .0818298   .0060825    13.45   0.000     .0699067    .0937528
------------------------------------------------------------------------------
(est8 stored)

Linear regression                               Number of obs     =     41,034
                                                F(2, 8929)        =    6038.14
                                                Prob > F          =     0.0000
                                                R-squared         =     0.4654
                                                Root MSE          =     .96512

                                  (Std. Err. adjusted for 8,930 clusters in i)
------------------------------------------------------------------------------
             |               Robust
       prior |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    prior_l1 |   .6684122   .0067607    98.87   0.000     .6551598    .6816647
      prior0 |   .0754629   .0045879    16.45   0.000     .0664695    .0844563
       _cons |    .074785     .00641    11.67   0.000     .0622199    .0873501
------------------------------------------------------------------------------
(est9 stored)

Linear regression                               Number of obs     =     41,034
                                                F(3, 8929)        =    5302.19
                                                Prob > F          =     0.0000
                                                R-squared         =     0.4892
                                                Root MSE          =     .94341

                                  (Std. Err. adjusted for 8,930 clusters in i)
------------------------------------------------------------------------------
             |               Robust
       prior |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    prior_l1 |   .5299984   .0084096    63.02   0.000     .5135135    .5464832
      prior0 |   .0458712   .0044717    10.26   0.000     .0371056    .0546368
    prior_l2 |   .2192527   .0073952    29.65   0.000     .2047563    .2337491
       _cons |    .039974   .0062704     6.38   0.000     .0276826    .0522655
------------------------------------------------------------------------------
(est10 stored)

Linear regression                               Number of obs     =     41,034
                                                F(4, 8929)        =    4342.30
                                                Prob > F          =     0.0000
                                                R-squared         =     0.4937
                                                Root MSE          =     .93922

                                  (Std. Err. adjusted for 8,930 clusters in i)
------------------------------------------------------------------------------
             |               Robust
       prior |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    prior_l1 |   .5091846   .0087733    58.04   0.000      .491987    .5263822
      prior0 |   .0324262   .0045275     7.16   0.000     .0235512    .0413012
    prior_l2 |   .1714989   .0078986    21.71   0.000     .1560158     .186982
    prior_l3 |   .0987407   .0070045    14.10   0.000     .0850103     .112471
       _cons |   .0273833   .0062339     4.39   0.000     .0151634    .0396032
------------------------------------------------------------------------------
(est11 stored)

Linear regression                               Number of obs     =     41,034
                                                F(5, 8929)        =    3522.55
                                                Prob > F          =     0.0000
                                                R-squared         =     0.4950
                                                Root MSE          =     .93801

                                  (Std. Err. adjusted for 8,930 clusters in i)
------------------------------------------------------------------------------
             |               Robust
       prior |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    prior_l1 |   .5047014   .0087118    57.93   0.000     .4876243    .5217785
      prior0 |   .0232352   .0046305     5.02   0.000     .0141584     .032312
    prior_l2 |   .1631572   .0079246    20.59   0.000     .1476233    .1786912
    prior_l3 |   .0748309   .0078289     9.56   0.000     .0594844    .0901773
    prior_l4 |   .0536551   .0068602     7.82   0.000     .0402075    .0671027
       _cons |   .0213623   .0062776     3.40   0.001     .0090568    .0336678
------------------------------------------------------------------------------
(est12 stored)

. 
. set linesize 250

. esttab, mtitles drop(_cons) b(%5.3f) se(%5.3f) compress r2 starlevels(c 0.1 b 0.05 a 0.01)  se 

----------------------------------------------------------------------------------------------------------------------------------------------
                 (1)        (2)        (3)        (4)        (5)        (6)        (7)        (8)        (9)       (10)       (11)       (12) 
                est1       est2       est3       est4       est5       est6       est7       est8       est9      est10      est11      est12 
----------------------------------------------------------------------------------------------------------------------------------------------
prior_l1       0.645a     0.521a     0.504a     0.503a     0.659a     0.520a     0.503a     0.498a     0.668a     0.530a     0.509a     0.505a
             (0.006)    (0.007)    (0.008)    (0.008)    (0.007)    (0.007)    (0.008)    (0.008)    (0.007)    (0.008)    (0.009)    (0.009) 

prior0         0.091a     0.050a     0.031a     0.020a     0.079a     0.045a     0.029a     0.019a     0.075a     0.046a     0.032a     0.023a
             (0.005)    (0.005)    (0.005)    (0.005)    (0.005)    (0.005)    (0.005)    (0.005)    (0.005)    (0.004)    (0.005)    (0.005) 

prior_l2                  0.210a     0.172a     0.168a                0.223a     0.181a     0.174a                0.219a     0.171a     0.163a
                        (0.007)    (0.008)    (0.008)               (0.007)    (0.008)    (0.008)               (0.007)    (0.008)    (0.008) 

prior_l3                             0.089a     0.076a                           0.090a     0.069a                           0.099a     0.075a
                                   (0.006)    (0.007)                          (0.007)    (0.008)                          (0.007)    (0.008) 

prior_l4                                        0.034a                                      0.050a                                      0.054a
                                              (0.007)                                     (0.006)                                     (0.007) 
----------------------------------------------------------------------------------------------------------------------------------------------
N              41034      41034      41034      38743      41034      41034      41034      41034      41034      41034      41034      41034 
R-sq           0.464      0.486      0.490      0.492      0.465      0.490      0.494      0.495      0.465      0.489      0.494      0.495 
----------------------------------------------------------------------------------------------------------------------------------------------
Standard errors in parentheses
c p<0.1, b p<0.05, a p<0.01

. esttab, mtitles drop(_cons) b(%5.3f) se(%5.3f) r2  starlevels({$^c$} 0.1 {$^b$} 0.05 {$^a$} 0.01) se tex label  title() 

{
\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi}
\begin{tabular}{l*{12}{c}}
\hline\hline
                    &\multicolumn{1}{c}{(1)}&\multicolumn{1}{c}{(2)}&\multicolumn{1}{c}{(3)}&\multicolumn{1}{c}{(4)}&\multicolumn{1}{c}{(5)}&\multicolumn{1}{c}{(6)}&\multicolumn{1}{c}{(7)}&\multicolumn{1}{c}{(8)}&\multicolumn{1}{c}{(9)}&\multicolumn{
> 1}{c}{(10)}&\multicolumn{1}{c}{(11)}&\multicolumn{1}{c}{(12)}\\
                    &\multicolumn{1}{c}{est1}&\multicolumn{1}{c}{est2}&\multicolumn{1}{c}{est3}&\multicolumn{1}{c}{est4}&\multicolumn{1}{c}{est5}&\multicolumn{1}{c}{est6}&\multicolumn{1}{c}{est7}&\multicolumn{1}{c}{est8}&\multicolumn{1}{c}{est9}&\mul
> ticolumn{1}{c}{est10}&\multicolumn{1}{c}{est11}&\multicolumn{1}{c}{est12}\\
\hline
prior\_l1            &       0.645{$^a$}&       0.521{$^a$}&       0.504{$^a$}&       0.503{$^a$}&       0.659{$^a$}&       0.520{$^a$}&       0.503{$^a$}&       0.498{$^a$}&       0.668{$^a$}&       0.530{$^a$}&       0.509{$^a$}&       0.505{$^a$}\
> \
                    &     (0.006)      &     (0.007)      &     (0.008)      &     (0.008)      &     (0.007)      &     (0.007)      &     (0.008)      &     (0.008)      &     (0.007)      &     (0.008)      &     (0.009)      &     (0.009)      \\
[1em]
prior0              &       0.091{$^a$}&       0.050{$^a$}&       0.031{$^a$}&       0.020{$^a$}&       0.079{$^a$}&       0.045{$^a$}&       0.029{$^a$}&       0.019{$^a$}&       0.075{$^a$}&       0.046{$^a$}&       0.032{$^a$}&       0.023{$^a$}\\
                    &     (0.005)      &     (0.005)      &     (0.005)      &     (0.005)      &     (0.005)      &     (0.005)      &     (0.005)      &     (0.005)      &     (0.005)      &     (0.004)      &     (0.005)      &     (0.005)      \\
[1em]
prior\_l2            &                  &       0.210{$^a$}&       0.172{$^a$}&       0.168{$^a$}&                  &       0.223{$^a$}&       0.181{$^a$}&       0.174{$^a$}&                  &       0.219{$^a$}&       0.171{$^a$}&       0.163{$^a$}\
> \
                    &                  &     (0.007)      &     (0.008)      &     (0.008)      &                  &     (0.007)      &     (0.008)      &     (0.008)      &                  &     (0.007)      &     (0.008)      &     (0.008)      \\
[1em]
prior\_l3            &                  &                  &       0.089{$^a$}&       0.076{$^a$}&                  &                  &       0.090{$^a$}&       0.069{$^a$}&                  &                  &       0.099{$^a$}&       0.075{$^a$}\
> \
                    &                  &                  &     (0.006)      &     (0.007)      &                  &                  &     (0.007)      &     (0.008)      &                  &                  &     (0.007)      &     (0.008)      \\
[1em]
prior\_l4            &                  &                  &                  &       0.034{$^a$}&                  &                  &                  &       0.050{$^a$}&                  &                  &                  &       0.054{$^a$}\
> \
                    &                  &                  &                  &     (0.007)      &                  &                  &                  &     (0.006)      &                  &                  &                  &     (0.007)      \\
\hline
Observations        &       41034      &       41034      &       41034      &       38743      &       41034      &       41034      &       41034      &       41034      &       41034      &       41034      &       41034      &       41034      \\
\(R^{2}\)           &       0.464      &       0.486      &       0.490      &       0.492      &       0.465      &       0.490      &       0.494      &       0.495      &       0.465      &       0.489      &       0.494      &       0.495      \\
\hline\hline
\multicolumn{13}{l}{\footnotesize Standard errors in parentheses}\\
\multicolumn{13}{l}{\footnotesize {$^c$} p<0.1, {$^b$} p<0.05, {$^a$} p<0.01}\\
\end{tabular}
}

. eststo clear

. 
. log close
      name:  <unnamed>
       log:  D:\Vicard\VV\re\inprogress\BRV\results\results_active_learning.log
  log type:  text
 closed on:  29 Sep 2017, 21:40:22
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